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Comparative Investigations and Performance Evaluation for Multiple-Level Association Rules Mining Algorithm

by Harsh K. Verma, Deepti Gupta, Suraj Srivastava
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 10
Year of Publication: 2010
Authors: Harsh K. Verma, Deepti Gupta, Suraj Srivastava
10.5120/860-1208

Harsh K. Verma, Deepti Gupta, Suraj Srivastava . Comparative Investigations and Performance Evaluation for Multiple-Level Association Rules Mining Algorithm. International Journal of Computer Applications. 4, 10 ( August 2010), 40-45. DOI=10.5120/860-1208

@article{ 10.5120/860-1208,
author = { Harsh K. Verma, Deepti Gupta, Suraj Srivastava },
title = { Comparative Investigations and Performance Evaluation for Multiple-Level Association Rules Mining Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { August 2010 },
volume = { 4 },
number = { 10 },
month = { August },
year = { 2010 },
issn = { 0975-8887 },
pages = { 40-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume4/number10/860-1208/ },
doi = { 10.5120/860-1208 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:52:46.952107+05:30
%A Harsh K. Verma
%A Deepti Gupta
%A Suraj Srivastava
%T Comparative Investigations and Performance Evaluation for Multiple-Level Association Rules Mining Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 4
%N 10
%P 40-45
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper focuses on the comparative investigation and performance evaluation of the ML_TMLA algorithm that generates multiple transaction tables for all levels in one database scan with that of ML_T2L1 and ML_T1LA algorithms. The performance study has been carried out on different kinds of data distributions (three synthetic and one real dataset) and thresholds that identify the conditions for algorithm selection. The AR Tool has been used for the experimental and comparative evaluation of the proposed algorithm with other algorithms.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data mining Knowledge discovery in databases Association rules multiple-level association rules

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